• DocumentCode
    555533
  • Title

    Geothermal heating system economic model optimization based on improved genetic algorithm

  • Author

    Qi, Xue-ling ; Qi, Er-Shi ; Mu, Hao

  • Author_Institution
    Sch. of Manage., Tianjin Univ., Tianjin, China
  • Volume
    Part 1
  • fYear
    2011
  • fDate
    3-5 Sept. 2011
  • Firstpage
    130
  • Lastpage
    132
  • Abstract
    This study built an economic model of the geothermal heating system by the annual cost method. The strengths of genetic algorithm and simulated annealing were integrated and utilized in the economic model. A case study verified that the optimized economic result and searching speed can be achieved by improved genetic algorithm.
  • Keywords
    economics; genetic algorithms; geothermal power; heating; simulated annealing; annual cost method; genetic algorithm; geothermal heating system economic model optimization; simulated annealing; Economics; Genetic algorithms; Geothermal energy; Heating; Investments; Simulated annealing; Annual cost method; Economic model; Genetic algorithm; Improved Genetic Algorithm; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-61284-446-6
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2011.6035122
  • Filename
    6035122